TL;DR — Quick Answer In this article, Dr. Madhuri Kanojiya shares the journey of her doctoral research on Cloud Computing-based Human Resource Management Systems, conducted at NIFTEM-K. The study surveyed 206 professionals across 40 food processing companies in the Delhi NCR region, and the final model explained 55.42% of the variance in the outcomes studied. […]
Read More →TL;DR — Quick Answer Thematic analysis is a widely used method for analysing qualitative data by identifying, analysing, and reporting patterns (themes) within it. It is commonly applied to interview transcripts, open-ended responses, and other text. The process typically follows six phases: familiarising yourself with the data, generating initial codes, searching for themes, reviewing themes, […]
Read More →TL;DR — Quick Answer Mixed methods research combines quantitative and qualitative methods within a single study, drawing on the strengths of both. It is used when a research question benefits from both numerical measurement and in-depth understanding. The main designs are convergent (collecting both types of data and comparing them), explanatory sequential (quantitative first, then […]
Read More →TL;DR — Quick Answer In research, the population is the entire group of people or items a researcher wants to study and draw conclusions about. The sample is the smaller subset of that population actually studied. Because studying an entire population is usually impractical, researchers study a sample and generalise the findings to the population. […]
Read More →TL;DR — Quick Answer Bias in research is any systematic error that distorts findings away from the truth. Unlike random error, bias pushes results consistently in a particular direction, leading to inaccurate conclusions. Common types include selection bias (unrepresentative samples), measurement bias (flawed measurement), response bias (inaccurate participant responses), confirmation bias (favouring expected results), and […]
Read More →TL;DR — Quick Answer A control group is a group in an experiment that does not receive the treatment or intervention being tested, used as a baseline for comparison. The experimental group receives the treatment; the control group does not. By comparing the two, researchers can determine whether the treatment caused any observed effect, rather […]
Read More →TL;DR — Quick Answer Deductive reasoning works from a general theory or premise toward a specific conclusion — testing an existing theory by deriving and testing hypotheses (top-down). Inductive reasoning works from specific observations toward a general theory — building theory from patterns in data (bottom-up). Deductive reasoning is associated with quantitative research and theory […]
Read More →TL;DR — Quick Answer Research philosophy refers to the underlying beliefs and assumptions about knowledge and reality that shape how research is conducted. The main philosophies are positivism (reality is objective and measurable, favouring quantitative methods), interpretivism (reality is socially constructed and subjective, favouring qualitative methods), and pragmatism (focusing on what works to answer the […]
Read More →TL;DR — Quick Answer Triangulation in research means using multiple methods, sources, or perspectives to study the same phenomenon, in order to strengthen the validity and credibility of the findings. The main types are data triangulation (multiple data sources), methodological triangulation (multiple methods), investigator triangulation (multiple researchers), and theoretical triangulation (multiple theories). The logic is […]
Read More →TL;DR — Quick Answer The results section of a research paper presents the findings of the study objectively, without interpretation. To write one: report the key findings clearly and systematically, present data using text, tables, and figures, organise findings logically (often by research question or objective), and report results factually without explaining what they mean. […]
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